Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering

26 Oct 2021

Abstract excerpt

The availability of millions of SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2) sequences in public databases such as GISAID (Global Initiative on Sharing All Influenza Data) and EMBL-EBI (European Molecular Biology Laboratory-European Bioinformatics Institute) (the United Kingdom) allows a detailed study of the evolution, genomic diversity, and dynamics of a virus such as never before. Here, we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Influenza Virus Research Studies
Share to SARS-CoV-2 and COVID-19 Research
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34698508
DOI: 10.1089/cmb.2021.0302

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via ClusteringPMID 34698508Read ↗

Unsupervised classification of SARS-CoV-2 genomic sequences uncovers hidden genetic diversity and suggests an efficient strategy for genomic surveillanceSemantic proximity Read ↗

Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization.Semantic proximity Read ↗

Data-driven approaches for genetic characterization of SARS-CoV-2 lineagesSemantic proximity Read ↗

Quantifying transmissibility and dispersion of SARS-CoV-2 variants and subvariants of concern in EnglandSemantic proximity Read ↗

Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virusSemantic proximity Read ↗

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering.Semantic proximity Read ↗

Cov2clusters: genomic clustering of SARS-CoV-2 sequencesSemantic proximity Read ↗

AlphaFold2 Reveals Structural Patterns of Seasonal Haplotype Diversification in SARS-CoV-2 Nucleocapsid Protein Variants.Semantic proximity Read ↗

Genetic Grouping of SARS-CoV-2 Coronavirus Sequences using Informative Subtype Markers for Pandemic Spread VisualizationSemantic proximity Read ↗

Dimensionality reduction distills complex evolutionary relationships in seasonal influenza and SARS-CoV-2Semantic proximity Read ↗

Entropy based analysis of SARS-CoV-2 spread in India using informative subtype markers.Semantic proximity Read ↗

SARS-CoV-2 surveillance in Italy through phylogenomic inferences based on Hamming distances derived from functional annotations of SNPs, MNPs and InDelsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.